Sr Manager, Data Engineering

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.

JOB DESCRIPTION:

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to:

• Career development with an international company where you can grow the career you dream of.
• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
• An excellent retirement savings plan with a high employer contribution.
• Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit, an affordable and convenient path to earning a bachelor’s degree.
• A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
• A company recognized as one of the best big companies to work for, as well as one of the best workplaces for diversity, working mothers, female executives, and scientists.

The Opportunity:

This position works out of our Madison, Wisconsin location in Abbott Cancer Diagnostics, with remote eligibility in approved states.

Abbott Cancer Diagnostics division:

As the Senior Manager, Data Engineering, you’ll lead the data engineering organization for an assigned business domain and own its strategy, integrated roadmap, delivery, stakeholder alignment, technical governance, and operating performance. You will partner with business and technology leaders to deliver governed, reusable data products and integrations that support operational applications, analytics, semantic layers, machine learning, and AI.

What You’ll Work On

• Lead, develop, and retain a domain data engineering organization, including Staff Engineers and contractor resources, with clear goals, decision rights, performance expectations, development plans, and succession strategies.
• Own the domain data engineering strategy, priorities, integrated roadmap, delivery commitments, stakeholder outcomes, and operating performance from planning through production support.
• Ensure timely resolution of material technical decisions and own priority, delivery, and technical-debt tradeoffs, while enabling Staff Engineers to lead domain technical design and Principal Engineers to provide cross-domain standards and guidance.
• Ensure domain data products and integrations align with shared enterprise platform capabilities and meet expectations for data quality, reliability, security, privacy, observability, governance, access, and lifecycle management.
• Build transparent relationships with senior business and technology leaders, communicate roadmap status, dependencies, risks, decisions, and tradeoffs, and represent the domain in platform, architecture, and technology-governance decisions.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Business, or a related field, or a high school diploma or General Education Diploma and four years of relevant experience in lieu of a bachelor’s degree.
• Eight or more years of progressively responsible experience in data engineering, data platforms, technology delivery, or related leadership roles.
• Five or more years of direct people-leadership experience, including management of engineering staff.
• Demonstrated experience owning delivery, stakeholder outcomes, and operating performance for a data domain, platform, or program from planning through production support.
• Demonstrated technical depth sufficient to direct and evaluate data engineering work and make priority, delivery, and technical-debt tradeoffs involving data architecture, integration patterns, data models, and platform decisions.
• Demonstrated ability to lead delivery across direct reports, contractors, and dependent or matrixed teams, including change, contractor, risk, and dependency management.
• Experience operating in a regulated or highly controlled data environment and delivering stakeholder outcomes at the required quality and on schedule.
• Authorization to work in the United States without sponsorship.

Preferred Qualifications

• Experience with modern data platforms such as Databricks, event-streaming architectures such as Kafka, and cloud data services in AWS, Azure, or Google Cloud Platform.
• Experience delivering governed data products and semantic capabilities that support analytics, machine learning, and AI use cases across commercial, financial, laboratory, clinical, operational, or customer-facing functions.
• Five or more years of experience in a regulated environment governed by standards or regulations such as SOX, HIPAA, CLIA, Good Clinical Practice, FDA, ISO 13485, or IEC 62304.
• Experience in life sciences, diagnostics, healthcare, or clinical-laboratory environments.
• Experience leading delivery through a combination of internal teams and contractor-based delivery models.
• Experience applying data privacy, security, access governance, lineage, retention, and business-continuity practices.

The base pay for this position is

$129,300.00 - $258,700.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:

Product Development

DIVISION:

ONCO Cancer Diagnostics

LOCATION:

United States > Madison : 1 Exact Lane

ADDITIONAL LOCATIONS:

WORK SHIFT:

Standard

TRAVEL:

Yes, 10 % of the Time

MEDICAL SURVEILLANCE:

No

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf